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UAV-Assisted Data Collection and Transmission Using Petal Algorithm in Wireless Sensor Networks

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Algorithms and Architectures for Parallel Processing (ICA3PP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14493))

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Abstract

With advancements in unmanned aerial vehicle (UAV) technology, the utilization of UAVs for data collection and transmission has become widespread in wireless sensor networks (WSNs). In this paper, the energy consumption of UAVs, the integrity of data collection and full coverage and so on are taken into account. Consequently, a dynamic UAV data collection model is formulated, with the objectives of minimizing the number of UAVs, reducing their flight distances, and optimizing service quality within WSNs. To address this model, the data collection nodes are initially determined using the Kmeans algorithm, followed the petal algorithm is proposed to search for the optimal flight route of UAVs. Finally, experimental comparisons were conducted, involving four test problems with different scales of sensors and five classic path planning algorithms, in comparison with the algorithm proposed in this paper. The results consistently demonstrate that the proposed algorithm yields better solution outcomes, effectively addressing the challenge of the UAV-assisted data collection.

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Acknowledgements

This work was supported in part by the Guangdong Key Construction Discipline Research Ability Enhancement Project (Grant No. 2021ZDJS086); in part by the Guangdong University Key Project (Grant No. 2019KZDXM012); in part by the Natural Science Foundation of Guangdong Province (Grant No. 2021A1515010656); in part by Guangdong Basic and Applied Basic Research Foundation (2022B1515120059); in part by the research team project of Dongguan University of Technology (Grant No. TDY-B2019009); in part by the PhD Start-Up Fund of Dongguan University of Technology (GC300502-3); in part by the Natural Science Foundation of Guangdong Province (Grant No. 2018A030313014); in part by the Guangdong Basic and Applied Basic Research Foundation (2022A1515010088).

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Authors and Affiliations

  1. School of Computer Science and Technology, Dongguan University of Technology, Dongguan, 523808, People’s Republic of China

    Xueqiang Li, Ming Tao & Shuling Yang

Authors
  1. Xueqiang Li
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  2. Ming Tao
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  3. Shuling Yang
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Corresponding author

Correspondence to Ming Tao .

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Editors and Affiliations

  1. Royal Melbourne Institute of Technology, Melbourne, VIC, Australia

    Zahir Tari

  2. Tianjin University, Tianjin, China

    Keqiu Li

  3. University of Arizona, Tucson, AZ, USA

    Hongyi Wu

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, X., Tao, M., Yang, S. (2024). UAV-Assisted Data Collection and Transmission Using Petal Algorithm in Wireless Sensor Networks. In: Tari, Z., Li, K., Wu, H. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2023. Lecture Notes in Computer Science, vol 14493. Springer, Singapore. https://doi.org/10.1007/978-981-97-0862-8_8

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  • DOI: https://doi.org/10.1007/978-981-97-0862-8_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0861-1

  • Online ISBN: 978-981-97-0862-8

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